- Health Systems, Economic Evaluations, Quality of Life
- Colorectal Cancer Screening and Detection
- Healthcare cost, quality, practices
- Gastric Cancer Management and Outcomes
- Healthcare Policy and Management
- Global Cancer Incidence and Screening
- Helicobacter pylori-related gastroenterology studies
- Cervical Cancer and HPV Research
- Global Health Care Issues
- Pharmaceutical Economics and Policy
- Health Promotion and Cardiovascular Prevention
- Economic and Financial Impacts of Cancer
- COVID-19 and healthcare impacts
- Vaccine Coverage and Hesitancy
- Economic and Environmental Valuation
- Nutritional Studies and Diet
- Colorectal Cancer Surgical Treatments
- Healthcare Systems and Challenges
- Genetic factors in colorectal cancer
- Pregnancy and preeclampsia studies
- Musculoskeletal pain and rehabilitation
- Prostate Cancer Diagnosis and Treatment
- Meta-analysis and systematic reviews
- Clinical practice guidelines implementation
- Health Services Management and Policy
University College Dublin
2023-2025
Erasmus MC
2011-2025
Trinity College Dublin
2015-2025
Beaumont Hospital
2025
Organisation of European Cancer Institutes
2023
University of Alberta
2016
Erasmus University Rotterdam
2011-2014
Centraal Bureau voor de Statistiek
2014
University Medical Center Utrecht
2014
Harvard Global Health Institute
2013
Time is an important aspect of health economic evaluation, as the timing and duration clinical events, healthcare interventions their consequences all affect estimated costs effects. These issues should be reflected in design models. This article considers three aspects time modelling: (1) which cohorts to simulate how far into future extend analysis; (2) simulation time, including difference between discrete-time continuous-time models, cycle lengths, converting rates probabilities; (3)...
Background & AimsNationwide organized gastric cancer (GC) screening programs have been running for decades in South Korea and Japan. This study conducted a quasi-experimental analysis to assess the population impact of these on GC mortality.MethodsWe used flexible synthetic control method (SCM) estimate effect age-standardized mortality other upper gastrointestinal (UGI) diseases (esophageal peptic ulcer) among people aged ≥40 years. World Health Organization data country-level covariates...
To undertake a child-centred evaluation of treatment provision for visible enamel defects.Postal questionnaires, developed with children, were sent to 88 patients, aged 7-16 years, defects permanent incisors and who had received microabrasion, with/without additional composite restoration at Sheffield Dental Hospital, UK. The questionnaires sought children's perceptions about their teeth before after the intervention, as well how they been treated. Anonymised responses graded using 10 cm...
The cost-effectiveness threshold in health care systems with a constrained budget should be determined by the of displacing services to fund new interventions. Using comparative statics, we review some potential determinants threshold, including for care, demand existing interventions, technical efficiency and development technologies. We consider anticipated direction impact that would affect following change each these determinants. Where system is technically efficient, an increase...
The objective was to evaluate whether routine aspirin 75 mg is more cost-effective than the Fetal Medicine Foundation screen-and-treat approach for preeclampsia prevention in low-risk nulliparous women. A health economic decision analytical model devised estimate discounted net and cost outcomes of versus screening test-indicated a cohort 100 000 Both strategies were compared with no intervention. subanalysis also disaggregated components algorithm. analysis used data from hospital...
It is acknowledged that health technology assessment (HTA) an inherently value-based activity makes use of normative reasoning alongside empirical evidence. But the language used to conceptualise and articulate HTA's aspects demonstrably unnuanced, imprecise, inconsistently employed, undermining transparency preventing proper scrutiny rationales on which decisions are based. This paper - developed through a cross-disciplinary collaboration 24 researchers with expertise in healthcare...
<p>Odds ratios of gastric cancer per region birth compared to the general population, controlled for age and sex. The results are presented in totals stratified by topographic location (non-cardia cardia).</p>
<p>Odd ratios of gastric cancer for second generation migrants compared to the general population, controlled age and sex The results are presented in totals stratified by topographic location (non-cardia cardia). Countries with fewer than 10 cases have been omitted privacy reasons.</p>
<p>Observed stage distribution at the time of diagnosis GC patients per country birth. The countries with fewer than 10 observations in any given category have been amalgamated. results are presented totals and stratified by topographic location (non-cardia cardia).</p>
<p>Age-specific incidence rates per 100,000 for immigrants from selected countries in the Netherlands period 2010 to 2021. *Numbers were too small other countries.</p>
<p>Odd ratios of gastric cancer per socioeconomic status compared to the general population, controlled for age, sex and immigration (first-generation second-generation). The results are presented in totals stratified by topographic location (non-cardia cardia).</p>
<p>Age-distributions of immigrants per country in the Netherlands 2015. *Some data fields are empty, due to small samples.</p>
<p>Odd ratios of gastric cancer for second generation migrants compared to the general population, controlled age and sex. The results are presented in totals stratified by topographic location (non-cardia cardia). countries with fewer than 10 observations any given category have been amalgamated.</p>
<p>Observed stage distribution at the time of diagnosis GC patients per level socioeconomic status (I-V). The results are presented in totals and stratified by topographic location (non-cardia cardia).</p>
<p>Age-distributions of immigrants per region in the Netherlands 2015. *Some data fields are empty, due to small samples.</p>